Wang Shuling is currently an assistant professor at Tongji University. She holds a Ph.D. and degree from Hong Kong University of Science and Technology. Her research focuses primarily on road traffic state identification and traffic information perception. In recent years, she has published about 20 papers in SCI journals and international conferences,including 10 papers as first author/corresponding author (JCR Q1/ Q2 area).Her core research findings have been published in top journals in the transportation field, such as "Transportation Research Part C" and "Transportation Science." She was selected for the 2022 Shanghai Leading Talents (Overseas) Youth Talent Program.
Education
2016.09-2021.07 The Hong Kong University of Science and Technology (Supervisor: Chair Professor Hong. K. Lo), Ph. D. in Civil and Environmental Engineering (HKUST Intelligent Transportation Lab)
2013.09-2016.06 Tongji University, Master in Traffic and Transportation Engineering
2009.09-2013.06 Tongji University, Bachelor in Transportation Engineering
Experience
2021.09-2022.12 The Hong Kong University of Science and Technology,Post-Doc
2020.09-2021.08 The Hong Kong University of Science and Technology,Part-time Research Assistant
Research interests
Road traffic state identification; Traffic information perception; Traffic flow modelling;Parameter estimation;Bayesian estimation;Traffic flow simulation;Multi-modal traffic networks optimization
Journal Papers Published (* denotes corresponding author)
[1].Wang, S., Huang, W., and Lo, H. K. (2019) Traffic parameters estimation for signalized intersections based on combined shockwave analysis and Bayesian Network.Transportation Research Part C: Emerging Technologies, 104, pp. 22-37. (JCR Q1, TOP)
[2].Wang, S., Huang, W., and Lo, H. K. (2020) Combining shockwave analysis and Bayesian Network for traffic parameter estimation at signalized intersections considering queue spillback.Transportation Research Part C: Emerging Technologies, 120, 102807. (JCR Q1, TOP)
[3].Wang, S., Patwary, A., Huang, W., and Lo, H. K. (2022) A general framework for combining traffic flow models and Bayesian network for traffic parameters estimation.Transportation Research Part C: Emerging Technologies, 139, 103664. (JCR Q1, TOP)
[4].Patwary, A. U. Z.,Wang, S.*, and Lo, H. K. (2023). Iterative Backpropagation Method for Efficient Gradient Estimation in Bilevel Network Equilibrium Optimization Problems. Transportation Science, 57(5), 1134-1159.
[5].Du, K.,Wang, S.* and Lo, H. K. (2023) Traffic Parameters Estimation with Partial Vehicle Trajectories By The Iterative Partial Backpropagation Maximum Likelihood Estimation (IPB-MLE) Framework. Transportation Research Board.
[6].Jiang, G., Lo, H. K., Tang, Q., Liang, Z. andWang, S.* (2021) The Impact of Road Pricing on Travel Time Variability under Elastic Demand.Transportmetrica B: Transport Dynamics, 9(1), 595-621. (JCR Q2)
[7].Jiang, G.,Wang, S.*, Lo, H. K. and Liang, Z. (2021). Modeling cost variability in a bottleneck model with degradable capacity.Transportmetrica B: Transport Dynamics, 1-27. (JCR Q2)
[8].Chen, X.,Wang, S.* and Yue, Z. (2022). Mechanics of multilayered or functionally graded material pressed onto an imperfect rigid base with a circular opening by localized surface loading.International Journal of Solids and Structures，236, 111335. (JCR Q1, TOP)
[9].Chen, X., Yue, Z. andWang, S.* (2022). Complete solution for the axisymmetric problem of a penny-shaped crack near and parallel to an arbitrarily graded interface in FGMs.International Journal of Solids and Structures，254, 111849. (JCR Q1, TOP)
[10].Chen, X.,Wang, S.* and Yue, Z. (2022). Gurtin and Murdoch’s surface effect on the elastic behavior of an elastic half space subjected to body forces.Engineering Analysis with Boundary Elements, 138, 118-132.(JCR Q2)
Conference Papers Presentation
[1].Wang, S., Du, K., Jiang, G., Patwary, A. and Lo, H. K. (2022) A Data Driven Approach for Traffic Parameters Estimation based on DNN-BN Using Sample Trajectory Data. The 26th international conference of Hong Kong society for transportation studies.
[2].Du, K.,Wang, S.and Lo, H. K. (2021) Traffic parameters estimation with an iterative partial backpropagation maximum likelihood estimation (IPB-MLE) framework. The 25th international conference of Hong Kong society for transportation studies.
[3].Wang, S., Huang, W., and Lo, H. K. (2019) A general framework of combining traffic flow models and Bayesian inference for traffic parameters estimation. The 24th international conference of Hong Kong society for transportation studies.
[4].Wang, S., Huang, W., and Lo, H. K. (2018) A hybrid approach to traffic volume and residual queue estimation for signalized intersections. The 23rd international conference of Hong Kong society for transportation studies.
[5].Wang, S., Yuan K., Lo, H. K. (2017) Modeling freeway travel time distribution considering moving bottlenecks: an analytical approach. The 22nd international conference of Hong Kong society for transportation studies.